You9ll architect and scale the trust infrastructure that keeps 70M+ users safe while preserving the creative freedom that makes Gamma magical. This means designing distributed systems for real-time content scanning, anomaly detection, and rate limiting; helping define and evolve the core data model and storage systems behind abuse detection; and shipping the high-volume event pipelines and internal tools that let our support teams act quickly on threats. You9ll join a small, high-impact team building the foundation for trust at scale. You9ll work across databases, public APIs, and event infrastructure, balancing long-term technical investments with rapid shipping velocity. You9ll collaborate across engineering, product, and design to define how Gamma approaches safety for the long term. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you9ll do 3 Own detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users 3 Design and build scalable trust infrastructure including rate limiting, content scanning, anomaly detection, and account security 3 Architect distributed systems, APIs, and high-volume event pipelines that power real-time abuse detection at Gamma9s scale 3 Help define and evolve the core data model and storage systems that underpin trust and safety across the product 3 Build tools that empower internal support teams to investigate and act on suspicious or malicious activity 3 Leverage AI/LLM-based detection to stay ahead of AI-generated abuse - phishing, fraud, and malicious content that9s increasingly indistinguishable from legitimate activity 3 Build automated triage and investigation workflows that let a small team operate at the scale of a much larger one 3 Investigate and resolve complex security incidents with limited context 3 Partner with engineering and product to balance security with user experience 3 Shape Gamma9s long-term trust and safety strategy and technical roadmap What you9ll bring 3 5+ years of backend engineering experience building scalable, high-traffic production systems 3 Strong systems thinking and experience building highly available web APIs 3 Strong proficiency in backend technologies (Node.js, Python, or similar) and databases (PostgreSQL, Redis) 3 Experience with event streaming systems (Redis, Kafka, or similar) and high-volume event pipelines 3 Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention 3 Track record shipping high-quality, complex applications under tight timelines 3 Product-minded approach with understanding of how technical decisions impact user experience and business metrics 3 Passion for security, user protection, and solving problems at scale Nice to have 3 Experience with AI/LLMs for content moderation, or familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS 3 Experience building AI-assisted moderation pipelines or using frontier models for automated abuse detection and response 3 Familiarity with the evolving AI threat landscape - how generative models are being used for phishing, social engineering, and content abuse at scale 3 Experience with real-time collaboration systems Compensation range: The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K-$275K plus benefits & equity. Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you9re interested in this role but you don9t meet every requirement, we encourage you to apply anyway! We9re always excited about meeting great people.